eval-harness

arm

cnn_bart_m_n200_v1 · linux

One config on cnn_dailymail_200, scored one way; its repeats averaged per item.

dataset
cnn_dailymail_200
scored against
gold/cnn_dailymail_200 gold
goal
Short news summaries (CNN)
runs
1
headline
coverage 0.337
last run
2026-09-30 15:09

Inspect itAgainst the baselineWith the 35 arms scored the same way

01metrics

metricmeanitemsbetter
coverage0.337200higher
compression0.143200neutral
concision0.258200higher
cost_usd$0.000000200lower
fmt_bullets0.000200neutral
fmt_label0.000200neutral
fmt_markdown0.000200neutral
fmt_narration0.010200neutral
fmt_overlong0.000200neutral
fmt_paragraphs0.000200neutral
grounding0.853200higher
input_truncated0.230200neutral
latency_ms4374.7200lower
length_vs_reference1.722200neutral
reference_words34.7200neutral
rouge10.346200higher
rougeLsum0.315200higher
summary_words55.4200neutral
tokens_in697.2200lower
tokens_out68.8200lower

02cost and speed

cost per item
$0.000000 · 766 tok
speed per item
p50 4,108 · p95 6,463 ms

Per item, over its items: cost as dollars and tokens (a local model is free but still uses tokens), speed as the median and the slow tail (p95). A goal that names this arm weighs them in its decision.

03runs

runmadeitemscosthow
cnn_bart_m_n200_v1_20260930T145345Z2026-09-30 15:09200$0.000000measured

04config

config cnn_bart_m_n200_v1 · adapter examples/summarization-cnn-dailymail/adapter.py · credentials are never shown

device
cpu
early_stopping
true
family
bart
length_penalty
2.0
max_length
142
min_length
56
model
sshleifer/distilbart-cnn-12-6
no_repeat_ngram_size
3
num_beams
4
precision
fp32
price_tier
free
provider
hf_local

05conditions

data.items_sha256
257feda902391b934b8cde940c15e91201096dbe96ec5a81337e9da007ce3ec7
deployment.device
cpu
deployment.model
sshleifer/distilbart-cnn-12-6
deployment.quantization
fp32
deployment.source
adapter
fingerprint.version
5
library.numpy
2.4.6
library.openai
3.19.2
library.rouge-score
0.1.2
library.torch
2.14.0
library.transformers
4.55.4
machine.cpu_count
4
machine.platform
Linux/x86_64
machine.processor
x86_64
machine.python
3.11.15
machine.release
6.18.44-fc-v50
reference.sha256
5d0b02c3798017535572d24dd3ce0592332938a0c91e93684d163963a60a7cd9
scorer.id
examples/summarization-cnn-dailymail/adapter.py
scorer.sha256
34afcfd48fa46f013ccf160f8f55175607831f419fff14536a0daa1061a5ed88

06the same config, scored other ways

scored against silverscored by a judgewrote the reference it is scored againstscored against a label set, not a reference setunmarked rows are scored against gold

07rounds